Band Representation-Based Semi-Supervised Low-Light Image Enhancement : Bridging the Gap Between Signal Fidelity and Perceptual Quality

It has been widely acknowledged that under-exposure causes a variety of visual quality degradation because of intensive noise, decreased visibility, biased color, etc. To alleviate these issues, a novel semi-supervised learning approach is proposed in this paper for low-light image enhancement. More...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 01., Seite 3461-3473
Auteur principal:	Yang, Wenhan (Auteur)
Autres auteurs:	Wang, Shiqi, Fang, Yuming, Wang, Yue, Liu, Jiaying
Format:	Article en ligne
Langue:	English
Publié:	2021
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article